April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Excluding terms based on frequency
It is also a common practice to exclude terms during tokenization when their overall occurrence in the corpus is very low. For example, let's examine the least occurring terms in the corpus (notice the different ordering we use here to return the results sorted in ascending order):
val oreringAsc = Ordering.by[(String, Int), Int](-_._2) println(tokenCountsFilteredSize.top(20)(oreringAsc) .mkString("n"))
You will get the following results:
(lennips,1)(bluffing,1)(preload,1)(altina,1)(dan_jacobson,1)(vno,1)(actu,1)(donnalyn,1)(ydag,1)(mirosoft,1)(xiconfiywindow,1)(harger,1)(feh,1)(bankruptcies,1)(uncompression,1)(d_nibby,1)(bunuel,1)(odf,1)(swith,1)(lantastic,1)
As we can see, there are many terms that ...
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